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Extending the Technology Acceptance Model (TAM) to Explore Customer’s Behavioral Intention to Use Self-Service Technologies (SSTs) in Chinese Budget Hotels

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Purpose: With the development and increasing adoption of the Internet in the early 21st century, SSTs (Self-Service Technologies) rapidly permeated all aspects of life. Many service providers in China are adopting a wide range of SSTs. This is mainly because they think SSTs improve customer service, increase productivity, and reduce costs. Problem is how potential customers perceive the SSTs and behave. Design/methodology/approach: This study hypotheses that the original TAM and extended TAM would not apply to customers using SSTs in Chinese budget hotels. All the relationships among variables on these models were tested by using a Structural Equation Model (SEM). Findings: Results proved that all of the relationships on the original TAM do apply to customers using SSTs in Chinese budget hotels. However, the extended TAM does not fit into this particular market. Research limitations/implications: This study examined the TAM with perceived risk and perceived playfulness to determine the factors influencing customers’ behavioral intention to use SSTs in budget hotels. This approach is likely to ensure a stable theory development. Hence, the proposed model makes an important contribution to the emerging literature on SSTs. Moreover, this study originally hypothesized perceived risk affected on customers’ satisfaction and behavioral intention to use SSTs in Chinese budget hotels. But it is rejected. Originality/value: This study offers empirical evidence and makes contribution to future research related to further developing an understanding of the relationship between perceived risk and SSTs adoption.

Abstract

Purpose: With the development and increasing adoption of the Internet in the early 21st century, SSTs (Self-Service Technologies) rapidly permeated all aspects of life. Many service providers in China are adopting a wide range of SSTs. This is mainly because they think SSTs improve customer service, increase productivity, and reduce costs. Problem is how potential customers perceive the SSTs and behave. Design/methodology/approach: This study hypotheses that the original TAM and extended TAM would not apply to customers using SSTs in Chinese budget hotels. All the relationships among variables on these models were tested by using a Structural Equation Model (SEM). Findings: Results proved that all of the relationships on the original TAM do apply to customers using SSTs in Chinese budget hotels. However, the extended TAM does not fit into this particular market. Research limitations/implications: This study examined the TAM with perceived risk and perceived playfulness to determine the factors influencing customers’ behavioral intention to use SSTs in budget hotels. This approach is likely to ensure a stable theory development. Hence, the proposed model makes an important contribution to the emerging literature on SSTs. Moreover, this study originally hypothesized perceived risk affected on customers’ satisfaction and behavioral intention to use SSTs in Chinese budget hotels. But it is rejected. Originality/value: This study offers empirical evidence and makes contribution to future research related to further developing an understanding of the relationship between perceived risk and SSTs adoption.

참고문헌 (88)

  1. Ajzen, I., "Application of the theory of planned behavior to leisure choice", Journal of leisure research, 24(3), pp.207~ (1992)
  2. Bateson, J. E, "Self-service consumer: An exploratory study. Journal of retailing" (1985)
  3. Bauer, R. A., "Consumer behavior as risk taking", Proceedings of the 43rd National Conference of the American Marketing Asso, 1 (1960), American Marketing Association
  4. Boulding, W., "A dynamic process model of service quality : from expectations to behavioral intentions", Journal of marketing research, 30(1), pp.7~ (1993)
  5. Bruner I I, G. C., "Explaining consumer acceptance of handheld Internet devices", Journal of business research, 58(5), pp.553~558 (2005)
  6. Campbell, D. T., "Convergent and discriminant validation by the multitrait-multimethod matrix", Psychological bulletin, 56(2), pp.81~ (1959)
  7. Castañeda, J. A., "Web Acceptance Model(WAM) : moderating effects of user experience", Information & management, 44(4), pp.384~396 (2007)
  8. Castro, D., "Embracing the Self-Service Economy", SSRN Electronic Journal (2010)[DOI]
  9. Chang, C. C., "Exploring the intention to continue using social networking sites : The case of Facebook", Technological Forecasting and Social Change, 95, pp.48~56 (2015)
  10. Chathoth, P. K., "The impact of information technology on hotel operations, service management and transaction costs : A conceptual framework for full-service hotel firms", International Journal of Hospitality Management, 26(2), pp.395~408 (2007)
  11. Chau, P. Y. K., "Information Technology Acceptance by Individual Professionals : A Model Comparison Approach", Decision Sciences, 32(4), pp.699~719 (2001)[DOI]
  12. Chen, C. F., "How destination image and evaluative factors affect behavioral intention?", Tourism management, 28(4), pp.1115~1122 (2007)
  13. Childers, T. L., "Hedonic and utilitarian motivations for online retail shopping behavior", Journal of retailing, 77(4), pp.511~535 (2001)
  14. Choi, J. G., "International tourism hotel general managers’perceived environmental uncertainty and their strategic management processes : a cross-country study of Korea and Japan", Journal of Applied Tourism Food and Beverage Management and Research, 12, pp.111~122 (2001)
  15. Curran, J. M., "Intentions to use self-service technologies : a confluence of multiple attitudes", Journal of Service Research, 5(3), pp.209~224 (2003)
  16. Dabholkar, P. A., "Technology-based service delivery:a classification scheme for developing marketing strategies", Advances in services marketing and management, 3(1), pp.241~271 (1994)
  17. Davis, F. D., "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS quarterly, pp.319~340 (1989)
  18. Davis, F. D., "Extrinsic and intrinsic motivation to use computers in the workplace", Journal of applied social psychology, 22(14), pp.1111~1132 (1992)
  19. Deel, G., "C. Electronic Theses and Dissertations", pp.4440~ (2010)
  20. Dholakia, U. M., "A motivational process model of product involvement and consumer risk perception", European Journal of marketing, 35(11, pp.12) (2001), 1340~1362
  21. Dowling, G. R., "A model of perceived risk and intended risk-handling activity", Journal of consumer research, 21(1), pp.119~134 (1994)
  22. Featherman, M. S., "Predicting e-services adoption : a perceived risk facets perspective", International journal of human-computer studies, 59(4), pp.451~474 (2003)
  23. Fishbein, M., "Belief, attitude, intention and behavior: An introduction to theory and research" (1975)
  24. Fornell, C., "Structural equation models with unobservable variables and measurement error: Algebra and statistics", Journal of marketing research, pp.382~388 (1981)
  25. Gefen, D., "Reflections on the dimensions of trust and trustworthiness among online consumers", ACM SIGMIS Database : the DATABASE for Advances in Information Systems, 33(3), pp.38~53 (2002)
  26. Gefen, D., "Trust and TAM in online shopping : An integrated model", MIS quarterly, 27(1), pp.51~90 (2003)
  27. Gefen, D., "Gender Differences in the Perception and Use of E-Mail : An Extension to the Technology Acceptance Model", MIS Quarterly, 21(4), pp.389~ (1997)[DOI]
  28. Giovanis, A. N., "An extension of TAM model with IDT and security", privacy risk in the adoption of internet banking services in Greece, 2012, pp.7(1), 24~53
  29. Gu, J. X., "Application status and value research of self-service facilities in tourism industry", Journal of Sichuan tourism academy, (2), pp.68~72 (2017)
  30. Hawkins, D. I., "Implications for marketing strategy", pp.5~ (2010)
  31. "Facial recognition check-in rolled out at 50 hotels in China" (2018)[URL]
  32. Ho Cheong, J., "Mobile internet acceptance in Korea", Internet research, 15(2), pp.125~140 (2005)
  33. Hua, W., "Critical Success Factors and Customer Expectation in Budget Hotel Segment —A Case S tudy o f China", Journal of Quality Assurance in Hospitality & Tourism, 10(1), pp.59~74 (2009)[DOI]
  34. Hubert, M., "Acceptance of Smartphone-Based Mobile Shopping : Mobile Benefits, Customer Characteristics, Perceived Risks, and the Impact of Application Context", Psychology & Marketing, 34(2), pp.175~194 (2017)
  35. Hung, S. W., "Are you ready for knowledge sharing? An empirical study of virtual communities", Computers & Education, 62, pp.8~17 (2013)
  36. Yunchu Huang, "A Study of Smartphone Users Acceptance through a Modified TAM", Global Business and Finance Review, 18(1), pp.20~33 (2013), 사람과세계경영학회
  37. Igbaria, M., "The effects of self-efficacy on computer usage", Omega, 23(6), pp.587~605 (1995)
  38. Im, I., "The effects of perceived risk and technology type on users’ acceptance of technologies", Information & Management, 45(1), pp.1~9 (2008)
  39. Jarvenpaa, S. L., "Consumer reactions to electronic shopping on the World Wide Web", International Journal of electronic commerce, 1(2), pp.59~88 (1996)
  40. Kansal, P., "Perceived risk and Technology Acceptance Model in Self-service banking : A study on the nature of mediation", South Asian Journal of Management, 23(2), pp.51~ (2016)
  41. Kim, B., "An empirical investigation of mobile data service continuance : Incorporating the theory of planned behavior into the expectation-confirmation model", Expert systems with applications, 37(10), pp.7033~7039 (2010)
  42. Kim, M., "Travelers' behavioral intention toward hotel self-service kiosks usage", International Journal of Contemporary Hospitality Management, 26(2), pp.225~245 (2014)
  43. Kline, R., "Principles and Practice of Structural Equation Modeling" (2011), Guilford Press
  44. Kaushik, A. K., "Tourist behaviour towards self-service hotel technology adoption : Trust and subjective norm as key antecedents", Tourism Management Perspectives, 16, pp.278~289 (2015)
  45. Koufaris, M., "Applying the technology acceptance model and flow theory to online consumer behavior", Information systems research, 13(2), pp.205~223 (2002)
  46. Kumar, P., "Dimensions of p erceived risk among students of high educational institutes towards online shopping in Punjab", The Journal of Internet Banking and Commerce, 21(3) (2016)
  47. Lee, D. R., "The budgets : Three views", Cornell Hotel and Restaurant Administration Quarterly, 25(1), pp.11~13 (1984)
  48. Lee, J. H., "Effects of trust and perceived risk on user acceptance of a new technology service", Social Behavior and Personality : an international journal, 41(4), pp.587~597 (2013)
  49. Lee, L. Y. S., "Hospitality industry web-based self-service technology adoption model : a cross-cultural perspective", Journal of Hospitality & Tourism Research, 40(2), pp.162~197 (2016)
  50. Lee, M. C., "Factors influencing the adoption of internet banking : An integration of TAM and TPB with perceived risk and perceived benefit", Electronic commerce research and applications, 8(3), pp.130~141 (2009)
  51. Lee, M. K., "Acceptance of Internet-based learning medium : the role of extrinsic and intrinsic motivation", Information & management, 42(8), pp.1095~1104 (2005)
  52. Lema, J. D., "Preparing Hospitality Organizations for Self-Service Technology", Journal of Human Resources in Hospitality & Tourism, 8(2), pp.153~169 (2009)[DOI]
  53. Li, J. Q., "Research on free operation mode of tourism enterprise APP", Tourism BBS, 8(6), pp.52~59 (2015)
  54. Li, J. H., "The impact of s elf-service technology on service firm performance in China : a multi-case study", Studies in Science of Science, 9, pp.018~ (2010)
  55. Li, Q., "An empirical study on shopping acceptance of WeChat platform based on TAM model", China academic journal electronic publishing house, (19), pp.54~57 (2016)
  56. Li, W. W., "The Influence of Brand personality of national geopark on tourists'behavior intention--taking Shanxi Cui huashan national geological park as an example", Journal of human geography, 29(3), pp.143~149 (2014)
  57. Liao, S., "The adoption of virtual banking : an empirical study", International journal of information management, 19(1), pp.63~74 (1999)
  58. Lieberman, J. N., "Playfulness : Its relationship to imagination and creativity" (2014), Academic Press
  59. Lin, J. S. C., "The role of technology readiness in customers' perception and adoption of self-service technologies", International Journal of Service Industry Management, 17(5), pp.497~517 (2006)
  60. Liu, H. Y., "Study on the influence factors of mobile AD acceptance", Journal of soft science, 28(4), pp.107~111 (2014)
  61. Liu, C., "Determinants of self-service technology adoption and implementation in hotels : the case of China", Journal of Hospitality Marketing & Management, 29(6), pp.636~661 (2019)[DOI]
  62. Liu, C., "A comparative study of self-service technology with service employees : a qualitative analysis of hotels in China", Information Technology & Tourism, 22(1), pp.33~52 (2020)[DOI]
  63. Meuter, M. L., "Self-Service Technologies : Understanding Customer Satisfaction with Technology-Based Service Encounters", Journal of Marketing, 64(3), pp.50~64 (2000)[DOI]
  64. Meuter, M. L., "Choosing among alternative service delivery modes : An investigation of customer trial of self-service technologies", Journal of marketing, 69(2), pp.61~83 (2005)
  65. Mohapatra, S., "Ginger hotels : use of IT in budget hotels in India", Journal of American Academy of Business, 13(2), pp.169~ (2008)
  66. Mohsin, A., "Service experience through the eyes of budget hotel guests : Do factors of importance influence performance dimensions?", Journal of Hospitality and Tourism Management, 23, pp.23~34 (2015)[DOI]
  67. Moon, J. W., "Extending the TAM for a World-Wide-Web context", Information & management, 38(4), pp.217~230 (2001)
  68. Oghazi, P., "Antecedents of technology-based self-service acceptance : a proposed model", Services Marketing Quarterly, 33(3), pp.195~210 (2012)
  69. Oh, H., "Tourists' adoption of self-service technologies a t resort hotels", Journal of Business Research, 66(6), pp.692~699 (2013)
  70. Oh, S. H., "Consumer adoption of virtual stores in Korea : Focusing on the role of trust and playfulness", Psychology & Marketing, 26(7), pp.652~668 (2009)
  71. Pavlou, P. A., "Consumer acceptance of electronic commerce : Integrating trust and risk with the technology acceptance model", International journal of electronic commerce, 7(3), pp.101~134 (2003)
  72. Pi, S. M., "The perceived r isks of online shopping in Taiwan", Social Behavior and Personality : an international journal, 39(2), pp.275~286 (2011)
  73. Qian, J., "Research on the impact of user-generated content usage and content on brand attitude -- a case study of user-generated content of audio and video users", Finance and Trade Research Financ Trad Res, (3), pp.105~115 (2012)
  74. Robertson, N., "Conceptualizing the influence of the self-service technology context on consumer voice", Services Marketing Quarterly, 27(2), pp.33~50 (2006)
  75. Ryu, K., "Intention to Experience Local Cuisine in a Travel Destination: The Modified Theory of Reasoned Action", Journal of Hospitality & Tourism Research, 30(4), pp.507~516 (2006)[DOI]
  76. Shang, R. A., "Extrinsic versus intrinsic motivations for consumers to shop on-line", Information & Management, 42(3), pp.401~413 (2005)
  77. Shen, X., "An empirical study on the use of mobile advertising by domestic users", Doctor, pp.2008
  78. Shih, H. P., "An empirical study on predicting user acceptance of e-shopping on the Web", Information &Management, 41(3), pp.351~368 (2004)
  79. Si, L. Q., "Study on the A’s Remodeling of Business Model based on Hotel Check in", out Self-help Kiosk, Southeast University, 2016
  80. Sun, J. C., "The construction and maintenance of domestic economical hotel brands", Jiangsu Commercial Forum, (4), pp.49~51 (2011)
  81. Taylor, J. W., "The role of risk in consumer behavior", The Journal of Marketing, pp.54~60 (1974)
  82. Taylor, S., "Understanding information technology usage : A test of competing models", Information systems research, 6(2), pp.144~176 (1995)
  83. Torres, R., "The impact of content type and availability on ebook reader adoption", Journal of Computer Information Systems, 54(4), pp.42~51 (2014)
  84. Tsang, M. M., "Consumer attitudes toward mobile advertising : An empirical study", International journal of electronic commerce, 8(3), pp.65~78 (2004)
  85. Van der Heijden, H., "User acceptance of hedonic information systems", MIS quarterly, pp.695~704 (2004)
  86. Weijters, B., "Determinants and outcomes of customers' use of self-service technology in a retail setting", Journal of Service Research, 10(1), pp.3~21 (2007)
  87. Wu, W. Y., "An online shopping behavior model integrating personality traits, perceived risk, and technology acceptance", Social Behavior and Personality : an international journal, 43(1), pp.85~97 (2015)
  88. Yousafzai, S. Y., "Explaining Internet Banking Behavior: Theory of Reasoned Action, Theory of Planned Behavior, or Technology Acceptance Model?", Journal of Applied Social Psychology, 40(5), pp.1172~1202 (2010)[DOI]

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